JP4002365B2 - Combined monitoring device - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a composite monitoring apparatus, and more particularly to an apparatus for detecting a human body in a monitoring area.
[0002]
[Prior art and problems]
Various sensors are used in a monitoring device that detects a human body. The sensor is roughly classified into an active type and a passive type. As the latter passive type sensor, for example, an infrared sensor (PIR sensor) and an image sensor using an image sensor such as a CCD or a CMOS are known.
[0003]
By the way, in the case of a surveillance device for crime prevention, a sensor such as an infrared sensor is installed at a corner of the ceiling of the room and the room is monitored obliquely from that point. Then, infrared rays from the living body entering the viewing angle are received by the infrared sensor, and the presence or absence of the human body is determined based on the received light signal. Actually, a plurality of infrared detection zones are set in the monitoring area, and the intrusion of the human body is detected with a signal fluctuation caused by the human body crossing the zone.
[0004]
Even if the infrared sensor is the same object, the output of the received light signal differs when it passes near the sensor and when it passes far. That is, the output of the infrared sensor depends on the distance to the object, and the longer the distance, the smaller the output due to the passage of the same heating element. For this reason, in order to prevent the false alarm, the sensitivity of the infrared sensor is set high so that the human body can be detected even in a location far from the sensor in the monitoring area. However, in this case, when a small animal (for example, a cat) passes near the sensor, there is a problem that it cannot be distinguished from a human body in a monitoring area far from the sensor and erroneously detected. This is because a small animal has a smaller amount of infrared radiation than a human body, but cannot be distinguished depending on the distance from the infrared sensor.
[0005]
This problem also occurs due to a difference in the moving speed of the object. For example, when the moving speed of the object is fast, the output of the infrared signal is small. For this reason, if the sensitivity of the infrared sensor is set high in order to detect an object with a high moving speed, if a small animal that emits infrared light at a level that is not originally detected moves slowly, this is mistaken as a human body. There was a problem of detection.
[0006]
The above problem is also pointed out when an object other than a human body is detected. In addition, although related technology is disclosed by Unexamined-Japanese-Patent No. 6-223276 and Unexamined-Japanese-Patent No. 62-147391, the objective of the following this invention cannot be achieved.
[0007]
The present invention has been made in view of the above-described conventional problems, and an object of the present invention is to provide a highly reliable monitoring apparatus that can perform highly accurate object detection.
[0008]
Another object of the present invention is to enable an appropriate detection condition to be set according to the distance from the infrared sensor to the object.
[0009]
Another object of the present invention is to enable an appropriate detection condition to be set according to the moving speed of an object.
[0010]
[Means for Solving the Problems]
(1) In order to achieve the above object, the present invention detects an infrared ray from a monitoring area and outputs a detection signal; an imaging sensor that images the monitoring area and outputs image information; based on the detection signal and the image information, and monitoring means for monitoring the monitoring area, based on the image information, the distance determination means the distance to the human body for the purpose object from the infrared sensor, before Symbol And adjusting means for adjusting the sensitivity of the infrared sensor or the processing condition relating to human detection of the detection signal so that the human body is more easily detected by the monitoring means as the distance increases .
[0011]
According to the above configuration, the distance from the infrared sensor to the target object is determined using the image information, and the sensitivity of the infrared sensor or the processing condition of the detection signal is adjusted according to the distance. Therefore, for example, it is possible to reduce or eliminate the influence of the error based on the distance difference by directly or indirectly changing the light receiving sensitivity depending on whether the target object is far away or nearby. Note that the concept of adjusting the detection signal processing condition includes adjustment of the determination criterion of the target object. Here, the target object is preferably a human body.
[0012]
Preferably, the infrared sensor and the imaging sensor are installed at positions where the monitoring region is looked down obliquely, and the distance determination unit divides the image captured by the imaging sensor into a plurality of sections in a perspective direction, The distance is determined according to the section to which the object image belongs. According to the above configuration, the position of the target object on the image can be roughly determined, and the distance can be determined according to the position.
[0013]
(2) Moreover, in order to achieve the said objective, this invention detects the infrared rays from a monitoring area | region, the infrared sensor which outputs a detection signal, the imaging sensor which images the said monitoring area | region, and outputs image information, Monitoring means for monitoring the monitoring area based on the detection signal and the image information; and speed determination means for determining the speed of a human body as a target object moving in the monitoring area based on the image information. When, characterized in that the processing condition according to the human body detection sensitivity or the detection signal of the previous SL infrared sensor includes an adjustment means for the body is adjusted to be easily detected by the monitoring means as said speed is greater And
[0014]
According to the above configuration, the speed of the target object is determined based on the image information, and the sensitivity of the sensor can be directly or indirectly adjusted based on the speed.
[0015]
(3) Moreover, in order to achieve the said objective, this invention detects the infrared rays from a monitoring area | region, the infrared sensor which outputs a detection signal, the imaging sensor which images the said monitoring area | region, and outputs image information, , on the basis of the detection signal and the image information, and monitoring means for monitoring the monitoring area, based on the image information, the speed of the human body as the distance and purpose object from the infrared sensor to a human body for the purpose objects determining means for determining the processing condition of the human body detection sensitivity or the detection signal of the previous SL infrared sensor, the human body by said monitoring means as the distance and the speed is high is adjusted to be easily detected adjusted Means.
[0016]
According to the said structure, according to the distance to the target object and its speed, the sensitivity of an infrared sensor can be adjusted directly or indirectly, and monitoring accuracy can be improved more.
[0017]
(4) Here, the concept of the embodiment according to the present invention will be described with reference to FIG. In a state where the monitoring area is monitored by the infrared sensor and the image sensor, in S101, the distance from the infrared sensor to the moving object (target object) is recognized based on the image information, and the moving object exists far away or It is determined whether it exists nearby. If it is determined that the infrared sensor is located far away, the infrared sensor is set to high sensitivity in S102. On the other hand, when it is determined that the moving body is present nearby, the sensitivity of the infrared sensor is set to low sensitivity in S103. And the presence or absence of a moving body is determined under such sensitivity adjustment.
[0018]
In the example of FIG. 1, the position of the moving body is determined. However, the speed may be determined, and sensitivity adjustment may be performed based on the speed. In that case, in S101, it is determined whether or not the speed of the moving body is equal to or higher than a predetermined value. If it is equal to or higher than the predetermined value, the sensitivity of the infrared sensor is set to high sensitivity in S102. In S103, the sensitivity of the infrared sensor may be set to a low sensitivity.
[0019]
In the above example, the sensitivity is adjusted in two steps, but it may be adjustable in three or more steps, or may be continuously variable.
[0020]
DETAILED DESCRIPTION OF THE INVENTION
DESCRIPTION OF EXEMPLARY EMBODIMENTS Hereinafter, preferred embodiments of the invention will be described with reference to the drawings.
[0021]
FIG. 2 shows a preferred embodiment of the present invention, and FIG. 1 is a conceptual diagram showing the overall configuration.
[0022]
In FIG. 2, the composite type monitoring apparatus according to the present embodiment is used, for example, for crime prevention. The composite type monitoring device is installed, for example, in the corner of the ceiling of the room.
[0023]
The cover 10 has, for example, a dome shape, and an image sensor 12, an illumination LED 16, and an infrared sensor 14 are provided in the cover 10. These constitute a detector. Incidentally, these sensors may be fixedly installed, but may be movable. The image sensor 12 is composed of, for example, a CCD that detects light in the near infrared region. Of course, as the image sensor 12, a device such as a CMOS image sensor may be used in addition to the CCD. A lens 18 is provided on the front side of the image sensor 12, and the light from the entire monitoring area is collected by the lens 18 and imaged on the image sensor 12. The image sensor may be a camera.
[0024]
The infrared sensor 14 is a sensor that detects infrared rays from within the monitoring area. In this embodiment, a pyroelectric element as a PIR sensor is used. Of course, other types of infrared sensors such as thermopile elements can be used. A Fresnel lens 20 is provided in front of the infrared sensor 14, whereby infrared rays from a plurality of zones in the monitoring area are received by the infrared sensor 14. Incidentally, in the present embodiment, signal waveform processing, which will be described later, is executed based on an infrared output signal that accompanies the movement of an object in the monitoring area.
[0025]
The illumination LED 16 functions as a near-infrared light source for capturing an image of the monitoring area with the image sensor 12 at night, for example. A signal from the image sensor 12 is converted into a digital signal by the A / D converter 22, and image information as the digital signal is output to the arithmetic processing unit 30. The light reception signal from the infrared sensor 14 is amplified by the amplifier 24 and then converted into a digital signal by the A / D converter 26, and the light reception signal as the digital signal is output to the arithmetic processing unit 30. .
[0026]
The arithmetic processing unit 30 is composed of, for example, an MPU, and FIG. 2 shows the main functions of the arithmetic processing unit 30 as a block diagram. Specifically, the arithmetic processing unit 30 includes an image analysis unit 32, a received light waveform analysis unit 34, and an overall determination unit 36. Here, in the present embodiment, the arithmetic processing unit 30 has an infrared sensitivity adjustment function as described later.
[0027]
The received light waveform analysis unit 34 is a means for performing a waveform analysis on the received light signal of infrared rays and calculating a first evaluation value E1 indicating the magnitude of the possibility of human existence. Further, the image analysis unit 32 is a means for calculating a second evaluation value E2 indicating the magnitude of the human body existence possibility by analyzing the image information. The comprehensive determination unit 36 is means for determining the presence / absence of a human body and the presence / absence of a plan based on the first evaluation value E1 and the second evaluation value E2. The determination result is output to the outside via the output unit 38. For example, the output signal is sent to a monitoring center or the like via a communication line.
[0028]
A power supply unit 40 is connected to the arithmetic processing unit 30, and power is supplied from a commercial power supply via the power supply unit 40, or power is supplied from a battery. An external memory 42 is connected to the arithmetic processing unit 30, and information necessary for the arithmetic processing unit 30 is appropriately stored in the external memory 42.
[0029]
Incidentally, the composite monitoring apparatus shown in FIG. 2 can be accommodated in the cover 10 as a whole, and the apparatus is installed downward on the ceiling of the room as described above. Next, the operation of the arithmetic processing unit 30 will be described with reference to FIGS.
[0030]
FIG. 3 shows a flowchart showing the main routine. Here, this main routine is executed every 25 ms, for example.
[0031]
The light reception waveform analysis processing shown in S201 is executed by the light reception waveform analysis unit 34 shown in FIG. 2, and the specific processing contents are shown in FIG. Further, the image analysis processing shown in S202 is performed by the image analysis unit 32 shown in FIG. 2, and the specific processing contents are shown in FIG. The determination process shown in S203 is executed by the comprehensive determination unit 36 shown in FIG. 2, and the specific processing contents are shown in FIG. Hereinafter, after describing the processing illustrated in FIGS. 4 to 6, each processing of S <b> 204 to S <b> 210 illustrated in FIG. 3 will be described.
[0032]
FIG. 4 shows the received light waveform analysis process. First, in S301, the voltage value of the infrared light reception signal is compared with a predetermined threshold value, and it is determined whether or not a signal exceeding the threshold value is generated. Here, the predetermined threshold is an upper limit and a lower limit of the voltage value when it is clear that the infrared light reception signal is not caused by the human body. If it is determined that there is a voltage value exceeding the threshold value, a predetermined PIR counter is incremented by one in S302, and processing relating to the peak value a, the peak number b, and the polarity change number c is executed in S303. These parameters indicate the characteristics of the received light signal waveform and are elements for calculating PIR data (first evaluation value) E1 described later. Accordingly, various feature quantities can be used as long as the waveform characteristics can be indexed.
[0033]
In the present embodiment, the peak value a indicates the peak value of the voltage value within a certain period. In S303, when a peak value larger than the peak value obtained in the past is obtained, the variable a is a new value. Updated to The peak number b indicates the number of occurrences of a peak until a reset described later is performed, and the polarity change number c corresponds to the number of occurrences of a zero voltage and a reference voltage in a period until a reset described later. . Of course, there are various kinds of definitions and usage methods of such parameters, and are not limited to those shown in FIG.
[0034]
In S304, in this embodiment, the first evaluation value E1 as PIR data is calculated using the peak value a, the peak number b, the polarity change number c, and the correction coefficient g. Here, the calculation method will be described. The PIR data E1 is calculated by the equation shown in FIG. 7E, and the parameters a, b, and c are tables shown in (A) to (C), respectively. The value is determined by. Further, the correction coefficient g is defined by a table shown in FIG. 7D. Specifically, as will be described later, according to the position of the displacement region (corresponding to a human body image) on the image (described later in FIG. 9 ( B)), the value of the correction coefficient g is variably set. This will be described in S432 to S434 in FIG. In any case, if the value of the correction coefficient g is increased, the value of the first evaluation value E1 can be increased, and as a result, the infrared sensitivity is increased.
[0035]
The parameter a is defined by the peak value voltage. When the first evaluation value is defined by the calculation formula shown in FIG. 7E, the value can be 0 to 150. Of course, this calculation formula is an example, and various calculation formulas can be adopted according to various situations.
[0036]
Returning to FIG. 4, if it is determined in S301 that the infrared voltage value does not exceed the predetermined threshold (within a predetermined range), it is determined in S305 whether or not the value of the predetermined PIR counter exceeds 0. When it is determined that the value of the PIR counter exceeds 0, the PIR counter is incremented by 1 in S306, and it is determined whether or not the value of the PIR counter exceeds 400 (corresponding to 10 seconds) in S307. That is, this S307 functions as a condition for setting a grace period until reset. If the value of the PIR counter does not exceed 400, S303 is executed. If the value of the PIR counter exceeds 400, the parameters a, b, c and the PIR counter are reset to zero in S308.
[0037]
FIG. 5 shows the image analysis processing as a flowchart.
[0038]
In S401, a predetermined imaging counter is incremented by one. In S402, it is determined whether or not the value of the imaging counter has become 4. That is, this imaging counter functions to execute the steps after S403 every 0.1 second.
[0039]
If the condition of S402 is satisfied, the imaging counter is reset in S403. Then, in S404, it is determined whether or not there is a change from the predetermined reference image. Here, the reference image is an image to be compared with the current image, and is, for example, a default image in a state where no human body exists when the apparatus is started up. Of course, various images can be used as the reference image. Further, an image change may be detected using, for example, a difference between frames without using the reference image.
[0040]
If the condition of S404 is satisfied, a predetermined image counter is incremented by one in S405. In S406, the size d of the change area in the current image is calculated. In step S407, it is determined whether the size d of the change area exceeds 50% of the entire image. That is, when the change area is quite large, there is a high possibility that some measure has been applied to the cover 10 shown in FIG. 2, and such a situation is determined in S407. Therefore, various conditions can be adopted as long as such a determination can be made.
[0041]
In S408, the predetermined cover counter is incremented by one. In S409, it is determined whether or not the value of the cover counter exceeds 600. Here, such a condition of S409 is provided because there is a possibility that a change area is temporarily generated due to, for example, cleaning of the cover 10 shown in FIG. For example, when there is a change area for one minute or more, the possibility of the scheme is high, and therefore the scheme detection flag 1 is set in S410.
[0042]
Returning to S407, if the size d of the change area is 50% or less of the entire screen, the position e of the change area is calculated in S430.
[0043]
In S432, the position of the changed area on the image is determined. Specifically, it is determined which of the section close to the detection section (sensor) (screen lower area) and the section far from the detection section (screen upper area) belongs to. Here, if it is determined that it belongs to a close section, for example, 1 (corresponding to low sensitivity) is assigned to the correction coefficient g in S433, and if it is determined that it belongs to a far section, for example, the correction coefficient g is set to 2 (equivalent to high sensitivity) is substituted. Incidentally, when it exists across both sections, for example, 1 is substituted for the correction coefficient g. This has already been shown in FIG. When the correction coefficient g is set as described above, weighting according to the distance to the target object can be performed in the calculation of the first evaluation value E1.
[0044]
In S435, the continuity f of the change region is calculated. In S436, the cover counter is reset.
[0045]
In S437, image data E2 as an evaluation value is calculated. This will be described with reference to FIGS.
[0046]
FIG. 8C shows an example of a calculation formula for the second evaluation value E2 in S437. When such a calculation formula is adopted, the second evaluation value E2 can take a value from 0 to 150. Here, (A) shows the relationship between the number of continuations corresponding to continuity and the parameter f. For example, f is defined as the number of frames in which change regions exist continuously, that is, the number of continuations. Further, as shown in (B), the size d of the change area is determined by the number of pixels defining the change area. Of course, the definition of such parameters is merely an example, and various elements can be adopted as the calculation element of the second evaluation value.
[0047]
FIG. 9A shows the concept of the composite monitoring apparatus 102 installed on the ceiling in the room 100. When the inside of the room 100 is imaged in such a state, an image 200 as shown in (B) can be obtained. Here, if a human body is present in the room 100, a change area as indicated by reference numeral 202 is generated. Incidentally, reference numeral 102A indicates the position of the composite type monitoring device. The above-described change area size d is defined by the number of pixels constituting the change area 202. In this embodiment, in order to determine the distance from the composite monitoring device to the human body position, as described above, the image 200 is divided into two on the side closer to the position of the composite monitoring device and on the far side. For the near area, 1 is set to the position parameter e, and when the change area exists in the far area, 2 is set to the parameter e. In the calculation of the correction coefficient, the distance to the human body is determined based on the same principle as described above.
[0048]
In S406, S430, and S435 described above in FIG. 5, values are determined for each of the parameters e, f, and d, and in S437, the calculation formula shown in FIG. 8C is executed. 2 Evaluation value E2 is determined. In the present embodiment, since the parameter e that changes according to the distance from the composite type monitoring device is taken into the calculation formula, there is an advantage that an accurate determination can be made according to the difference in the view of the human body. When the image 200 is actually displayed on the screen, it is usually displayed so that the upper side of the screen is a far region and the lower side of the screen is a close region.
[0049]
If it is determined in S404 in FIG. 5 that there is no change from the reference image, it is determined in S414 whether or not the value of the image counter is greater than 0. If the value of the image counter is greater than 0, in S415. The image counter is incremented by 1, and it is determined in S416 whether or not the value of the image counter is greater than 20 (corresponding to 2 seconds). Here, S416 corresponds to a condition for setting a grace period until reset. If it is determined in S416 that the value of the image counter is larger than 20, the parameters d, e, f and the image counter are reset to zero in S417.
[0050]
FIG. 6 shows the contents of the comprehensive determination process as a flowchart.
[0051]
In S501, it is determined whether or not the first evaluation value (PIR data) E1 is 100 or more. If it is 100 (first threshold) or more, the image counter is reset in S502, and the strategy flag 1 is reset in S503. In step S504, the human body detection flag is set.
[0052]
If the first evaluation value E1 is less than 100 in S501, it is determined in S505 whether the second evaluation value (image data) E2 is 100 (second and fifth threshold values) or more. If E2 is equal to or greater than 100, it is determined in S506 whether the first evaluation value E1 is 0 (fourth threshold or less). If the first evaluation value E1 is 0, a predetermined plan counter is incremented by 1 in S507, and it is determined in S508 whether the plan counter is 10 or more. Here, if the plan counter is 10 or more, the predetermined plan flag 2 is set in S509, and then the above-mentioned plan counter is reset in S512.
[0053]
On the other hand, if the first evaluation value E1 is not 0 in S506 and if the plan counter is less than 10 in S508, a predetermined human body detection flag is set in S510.
[0054]
On the other hand, if the second evaluation value E2 is less than 100 in S505, S511 is executed.
[0055]
In S511, the first evaluation value E1 and the second evaluation value E2 are added, and it is determined whether or not the addition value is 100 (third threshold value) or more. That is, each evaluation value is normalized with respect to each other, and it is possible to comprehensively evaluate both evaluation values by such linear addition. Here, if the added value is less than 100, this routine ends. If it is 100 or more, the human body detection flag is set in S510.
[0056]
A supplementary description of the processing of FIG. 6 will be described. A1 shown in FIG. 6 corresponds to single determination in which infrared analysis is prioritized. That is, the human body is determined only by the first evaluation value E1. A2 shown in FIG. 6 corresponds to a single determination that prioritizes the image analysis result. Further, B1 shown in FIG. 6 corresponds to a case where a human body is determined as a result of comprehensive determination. Further, B2 shown in FIG. 6 corresponds to the case where the plan is determined as a result of the comprehensive determination. That is, in that case, there is a contradiction between the second index value and the first index value, and as a result, obstructive work against infrared detection is considered promising.
[0057]
Incidentally, the reason why the plan counter is compared with the fixed value in S508 is that the plan determination is made only when the above-mentioned contradiction occurs for a fixed time. In other words, it prevents the occurrence of false alarms when there is a sudden inconsistency due to a disturbance or the like.
[0058]
Returning to FIG. 3, when it is determined in S204 that the human body detection flag is set as a result of setting the flag in each process as described above, a human body detection signal is output to the outside in S205. In S206, the human body detection flag is reset. If it is determined in S207 that the plan detection flag 1 is set or if it is determined in S208 that the plan detection flag 2 is set, a plan detection signal is output to the outside in S209, In S210, the two scheme detection flags are reset respectively. Incidentally, when it is determined that none of the flags is set in the steps S204, S207, and S208, the steps from S201 described above are executed in a predetermined cycle.
[0059]
In the above embodiment, the infrared sensitivity is adjusted according to the distance to the human body. However, the infrared sensitivity may be adjusted according to the moving speed of the human body, for example. Moreover, you may adjust the sensitivity of infrared rays based on both distance and speed.
[0060]
As described above, according to the above-described embodiment, it is possible to comprehensively determine the presence or absence of a target object, that is, a human body, and the presence or absence of a plan. In particular, since the infrared sensitivity can be adjusted according to the measurement conditions, the monitoring accuracy can be increased.
[0061]
【The invention's effect】
As described above, according to the present invention, it is possible to provide a highly reliable monitoring apparatus capable of detecting an object with high accuracy. According to the present invention, it is possible to set appropriate detection conditions according to the distance from the infrared sensor to the object and the speed of the object.
[Brief description of the drawings]
FIG. 1 is a flowchart showing the concept of a composite monitoring system according to the present invention.
FIG. 2 is a block diagram showing an overall configuration of a composite type monitoring apparatus according to the present embodiment.
FIG. 3 is a flowchart showing a main routine executed by an arithmetic processing unit.
FIG. 4 is a flowchart showing a received light waveform analysis process executed by a received light waveform analysis unit.
FIG. 5 is a flowchart showing image analysis processing executed by an image analysis unit.
FIG. 6 is a flowchart showing a comprehensive determination process executed by a comprehensive determination unit.
FIG. 7 is a diagram illustrating the definition of each parameter and a calculation formula for calculating a first evaluation value.
FIG. 8 is a diagram illustrating the definition of each parameter and a calculation formula for calculating a second evaluation value.
FIG. 9 is a conceptual diagram showing an installation state of a composite type monitoring apparatus and an image acquired thereby.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 10 Cover, 12 Image sensor, 14 Infrared sensor, 18 lens, 20 Fresnel lens, 30 Arithmetic processing part, 32 Image analysis part, 34 Light-receiving waveform analysis part, 36 Comprehensive determination part, 38 Output part.

Claims (4)

An infrared sensor that detects infrared rays from the monitoring area and outputs detection signals;
An imaging sensor that images the monitoring area and outputs image information;
Monitoring means for monitoring the monitoring area based on the detection signal and the image information;
Distance determining means for determining a distance from the infrared sensor to a human body as a target object based on the image information;
And adjusting means for the processing conditions according to the human body detection sensitivity or the detection signal of the previous SL infrared sensor, the human body by said monitoring means as said distance is greater is adjusted to be easily detected,
A composite type monitoring apparatus comprising: The apparatus of claim 1 .
The infrared sensor and the imaging sensor are installed at a position overlooking the monitoring area obliquely,
The distance determination means divides an image captured by the image sensor into a plurality of sections in a perspective direction, and determines the distance according to a section to which a target object image belongs. An infrared sensor that detects infrared rays from the monitoring area and outputs detection signals;
An imaging sensor that images the monitoring area and outputs image information;
Monitoring means for monitoring the monitoring area based on the detection signal and the image information;
Speed determining means for determining the speed of a human body as a target object moving within the monitoring area based on the image information;
And adjusting means for the processing conditions according to the human body detection sensitivity or the detection signal of the previous SL infrared sensor, the human body by said monitoring means as said speed is greater is adjusted to be easily detected,
A composite type monitoring apparatus comprising: An infrared sensor that detects infrared rays from the monitoring area and outputs detection signals;
An imaging sensor that images the monitoring area and outputs image information;
Monitoring means for monitoring the monitoring area based on the detection signal and the image information;
Determination means for determining a distance from the infrared sensor to a human body as a target object and a speed of the human body as the target object based on the image information;
And adjusting means for the processing conditions according to the human body detection sensitivity or the detection signal of the previous SL infrared sensor, the human body by said monitoring means as the distance and the speed is high is adjusted to be easily detected,
A composite type monitoring apparatus comprising:

Images